Purpose Inscrutable machine learning (ML) models are part of increasingly many
information systems. Understanding how these models behave, and what their output is …

As artificial intelligence (AI) is increasingly used in various industries, it becomes crucial for
organizations to enhance their capabilities and maturity in adopting AI responsibly. This …

In higher education, low teacher-student ratios can make it difficult for students to receive
immediate and interactive help. Chatbots, increasingly used in various scenarios such as …

Tom Freston is credited with saying ''Innovation is taking two things that exist and putting
them together in a new way''. For a long time in history, it has been the prevailing …

Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …

Managing artificial intelligence (AI) marks the dawn of a new age of information technology
management. Managing AI involves communicating, leading, coordinating, and controlling …

Building on emerging debates on the 'dark'and 'bright'side of digital globalization, and calls
for considering its environmental and social implications in more detail, this perspective …

Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …

Artificial Intelligence (AI) implementation incorporates challenges that are unique to the
context of AI, such as dealing with probabilistic outputs. To address these challenges, recent …

AI-augmented decision-making processes promise to transform strategic decisions around
innovation management. However, despite a growing body of research on algorithmic …